Introduction
Before diving into implementing a full API monitoring solution, it’s important to understand the core concepts of Serverless Monitoring and how AWS observability tools integrate seamlessly within serverless environments.
🔍 Serverless Monitoring & Observability
While serverless applications eliminate infrastructure management, they introduce new challenges in monitoring, debugging, and ensuring SLA compliance. To address this, AWS offers a comprehensive suite of tools to:
- Monitor performance metrics
- Trace execution flows
- Trigger real-time alerts
—all without managing servers.
🧩 AWS Services Used
In this project, we’ll build an end-to-end API monitoring system using serverless architecture, incorporating the following AWS services:
- Compute: AWS Lambda
- API Management: Amazon API Gateway
- Database: Amazon DynamoDB
- Monitoring & Observability:
- Amazon CloudWatch Logs for centralized logging
- CloudWatch Metrics for tracking latency, traffic, and errors
- CloudWatch Alarms + SNS for real-time alerting
- AWS X-Ray for distributed tracing and performance analysis
🧠 Overview of AWS Lambda
AWS Lambda lets you run backend logic in response to events without provisioning or managing infrastructure. Benefits include:
- Automatic scaling and high availability
- Seamless integration with API Gateway and CloudWatch
- Event-driven architecture with flexible memory and timeout configuration
🛠️ Hands-on Implementation
In this workshop, you’ll be guided through building a full serverless monitoring system, including:
- Creating a Lambda-based API with API Gateway
- Integrating CloudWatch Logs and Metrics for performance tracking
- Setting up CloudWatch Alarms with SNS to notify on anomalies
- Enabling AWS X-Ray for request tracing and error diagnosis
- Visualizing metrics and logs for continuous monitoring
- Writing basic documentation for monitored APIs
✅ Outcome: By the end of this workshop, you’ll have a fully observable, alert-driven, serverless API system — powered entirely by native AWS services.